How to define a "don't care" class in time series classification in Pytorch?
Don't care classes are not advisable since don't care doesn't have any inherent pattern which would hurt your model inadvertently.
You can assign class weights for your classes. CrossEntropyLoss has an argument 'weights'.
BatchNormalization can be left alone since the normalization should happen on the basis of all data and not just some of the data.